AI agents that work inside your business process
We scope and build AI agents that work inside your process: lead handling, quotes, scheduling and documents, with clear limits and human approval.
An AI agent does not just answer: it checks information in your systems, decides by rules you define and takes an action, such as classifying a lead, drafting a quote or booking a meeting. We scope and build agents around your business process, with clear limits, human approval where it matters and ongoing control.
Who it is for
Tick every line that fits you
One inquiry, start to finish
An illustrative example: how a single inquiry moves once the system runs, and what changes day to day.
A plain-language request
Write or say what is needed, no template
The agent understands and decides
Picks the steps and the right tool
Acts in your systems
Updates, fetches and sends for real
Reports and asks approval
A person approves only sensitive decisions
Before
- Repetitive tasks someone does by hand every day
- Information scattered across several systems
- Dependence on the one person who knows how
After
- The agent runs the sequence on its own
- Information gathered and summarised in one place
- A person approves only sensitive decisions
A case-study agent: from one form to a ready draft
A screen recording of an agent we built for ourselves. You fill in a short form about a finished project (client, before, result, testimonial), the n8n workflow runs, and Telegram delivers a case study ready for review plus a draft marketing post, with a link to the document.
- A short form instead of writing a case study by hand
- A draft case study and marketing post, ready for your review
- Documents are saved to Google Docs and Drive automatically
🔊 With sound. The recording is a test run with a sample client, not a real client.
What we build
- 01
Lead handling agent
Captures requests from every channel, responds, qualifies and routes to the right person.
- 02
Quote generator
Turns a free-form request into a formatted quote that is ready for review and sending.
- 03
Automatic scheduling
Holds the conversation, checks the calendar, sends confirmations and reminders and books the meeting.
- 04
Document processing
Extracts data from invoices and forms and enters it into your systems, with validation checks.
- 05
Approvals and control
Approval levels by risk, logs, exception thresholds and a simple way to stop the agent.
How the work goes
Choose one process
A frequent, clear and measurable process with an expected return.
Define limits and approvals
What the agent may do alone, what needs approval and who approves.
Build and test
Tests against real cases, including edge cases and failures.
Measure and expand gradually
We add authority only after there is accuracy data, logs and operational trust.
Frequently asked questions
A chatbot answers from a script. An agent can check real systems, decide and take an action. The right question is whether your process ends in an answer or in an action.
It depends on the risk level. Low-risk actions can be automated with spot checks. Actions involving money, commitments or sensitive data need human approval before they run.
Confidence thresholds that route to review, a budget per process, technical and business monitoring, and choosing the model by task so an expensive model is not used for a simple one.
With one process that has a clear return, in a controlled pilot. Once there is data, we expand to more processes.
There is no fixed package. Price is set after scoping and depends on process complexity, the number of systems and activity volume.
Related pages
What wears you out most in your business? Pick one and we'll start there
One click, and the form is already partly filled in.